Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View Osanchezr's full-sized avatar
10 followers · 3 following

Achievements

Achievement: Pull Sharkx2

Achievements

Achievement: Pull Sharkx2

Block or report Osanchezr

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Osanchezr/README.md

Hi there 👋

I'm Oscar Sanchez

💻  About Me

  • 🎓   Economist graduated from UNMSM, Peru.
  • 📚   Master's in Banking and Finance from UDC, Spain.
  • 🎓   Currently attending a Data Analytics Bootcamp at Ironhack, Spain.
  • 💼   Experienced in analyzing banking portfolios, financial risk management, and optimizing investment strategies.
  • 🔍   Interested in Data Analytics, Machine Learning models, and business process optimization.
  • 🚀   Passionate about leveraging data analysis and AI to solve complex problems in the financial sector and beyond.

🛠  Tech Stack

How to Reach Me


Please don't hesitate to contact me
if you need further information or help.


Taban Soleymani | Gmail    Taban Soleymani | LinkedIn   

Pinned Loading

  1. Vanguard-AB-test Vanguard-AB-test Public

    Forked from PoeMadara/vanguard-ab-test-team-14

    Team: Oscar Paul Sanchez y Carlos Vergara

    Jupyter Notebook

  2. DA_PremierLeague18_19 DA_PremierLeague18_19 Public

    Proyecto del bootcamp de Ironhack que involucra la limpieza, modelado y análisis de datos de la Premier League 2018-2019 usando Python y MySQL. Visualizaciones realizadas con Matplotlib y Seaborn.

    Jupyter Notebook 1 1

  3. Models_Credit_Risk_Default Models_Credit_Risk_Default Public

    Aplicación de modelos de aprendizaje automático para predecir la probabilidad de default en la gestión de riesgo de crédito, comparando técnicas como Árboles de Decisión, Random Forest y Gradient B…

  4. Models_Credit_card_fraud Models_Credit_card_fraud Public

    Forked from Rafa-Gamero/Machine-Learning

    Proceso de construcción y evaluación de modelos machine learning para la detección de fraude en transacciones financieras.

    Jupyter Notebook

  5. Portafolio_Analysis_With_OpenIA_GPT Portafolio_Analysis_With_OpenIA_GPT Public

    Se analiza tres carteras de inversión utilizando precios ajustados de acciones entre 2018 y 2024. Se calculan indicadores financieros claves, y se emplea la API de OpenAI para identificar la mejor …

    Jupyter Notebook

  6. DA-Monitor-Banking-System-Peru DA-Monitor-Banking-System-Peru Public

    Análisis del sector bancario en Perú mediante clustering no supervisado de indicadores financieros (2015-2024). Visualización de resultados y análisis en una app de Streamlit.

    Jupyter Notebook